Making AI Work, MIT Technology Review’s new AI newsletter, is here
Making AI Work: A New AI Mini-Course Newsletter from MIT Technology Review
For years, our newsroom has explored AI's limitations and potential dangers, as well as its growing energy needs. Our reporters have looked closely at how generative tools are being used for tasks such as coding and running scientific experiments. But how is AI actually being used in fields like health care, climate tech, education, and finance? How are small businesses using it? And what should you keep in mind if you use AI tools at work?
These questions guided the creation of Making AI Work, a new AI mini-course newsletter from MIT Technology Review. The limited-run newsletter will deliver practical, industry-specific guidance on how generative AI is being used and deployed across sectors and what professionals need to know to apply it in their everyday work.
A New Approach to AI Learning
Making AI Work is designed to help working professionals more clearly see how AI is actually being used today, and what that looks like in practice—including new challenges it presents. Each newsletter begins with a case study, examining a specific use case of AI in a given industry. Then we'll take a deeper look at the AI tool being used, with more context about how other companies or sectors are employing that same tool or system. Finally, we'll end with action-oriented tips to help you apply the tool.
What to Expect from the Series
The seven-week series will cover a range of topics, including:
Week 1: How AI is Changing Healthcare
Explore the future of medical note-taking by learning about the Microsoft Copilot tool used by doctors at Vanderbilt University Medical Center.
Week 2: How AI Could Power Up the Nuclear Industry
Dig into an experiment between Google and the nuclear giant Westinghouse to see if AI can help build nuclear reactors more efficiently.
Week 3: How to Encourage Smarter AI Use in the Classroom
Visit a private high school in Connecticut and meet a technology coordinator who will get you up to speed on MagicSchool, an AI-powered platform for educators.
Week 4: How Small Businesses Can Leverage AI
Hear from an independent tutor on how he's outsourcing basic administrative tasks to Notion AI.
Week 5: How AI is Helping Financial Firms Make Better Investments
Learn more about the ways financial firms are using large language models like ChatGPT Enterprise to supercharge their research operations.
Week 6: How to Use AI Yourself
We'll share some insights from the staff of MIT Technology Review about how you might use AI tools powered by LLMs in your own life and work.
Week 7: 5 Ways People Are Getting AI Right
The series ends with an on-demand virtual event featuring expert guests exploring what AI adoptions are working, and why.
A Beginner's Guide to AI
If you're not quite ready to jump into Making AI Work, then check out Intro to AI, MIT Technology Review's first AI newsletter mini-course, which serves as a beginner's guide to artificial intelligence. Readers will learn the basics of what AI is, how it's used, what the current regulatory landscape looks like, and more. Sign up to receive Intro to AI for free.
Deep Dive: Artificial Intelligence
Artificial intelligence is a rapidly evolving field that has the potential to transform industries and revolutionize the way we live and work. But with great power comes great responsibility, and it's essential to understand the implications of AI on society.
The Great AI Hype Correction of 2025
Four ways to think about this year's reckoning.
By Will Douglas Heaven
Meet the New Biologists Treating LLMs Like Aliens
By studying large language models as if they were living things instead of computer programs, scientists are discovering some of their secrets for the first time.
By Will Douglas Heaven
Yann LeCun's New Venture is a Contrarian Bet Against Large Language Models
In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs.
By Caiwei Chen
What's Next for AI in 2026
Our AI writers make their big bets for the coming year—here are five hot trends to watch.
By Rhiannon Williams
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Requirements
- MINIMUM 800 words - comprehensive coverage
- Use clear section headings (##) to organize content
- Write in an engaging, journalistic style
- Include technical details but make them accessible
- Provide practical insights and implications
- Use markdown formatting for structure
- NO fluff or filler - every sentence should add value
- Focus on "why this matters" and real-world applications
- Include specific examples where relevant
- End with forward-looking thoughts or implications
Source: https://www.technologyreview.com/2026/02/09/1132462/ai-newsletter-professional-applications/
